Statistical Optimization for Geometric Computation: Theory and Practice (Paperback)

Kenichi Kanatani

ISBN 10: 0486443086 / ISBN 13: 9780486443089

Verlag: Dover Publications, New York, 2005

Beschreibung

Paperback. This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise - a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. 1996 edition. This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise — a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. 1996 edition. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9780486443089

Bibliografische Details

Titel: Statistical Optimization for Geometric ...

Verlag: Dover Publications, New York

Erscheinungsdatum: 2005

Einband: Paperback

Zustand: new

Über diesen Titel

Inhaltsangabe:

This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise ― a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. 1996 edition.